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Added 7 mins ago
J
Manager, Process Department
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Manager, Process Department based in Canada.
Added 7 mins ago
GA
Assistant Store Manager - CF Pacific Center
Groupe APP - APP Group
Vancouver, BC
- Full-time
Reporting to the Store Manager, you will be responsible for the team and effective operations of the store from service, brand integrity, store standards, training to people performance.
Added 7 mins ago
AM
Pre-Planning Director
Arbor Memorial Inc.
Thorold, ON
- Full-time
Reporting to the Branch Manager, you will be responsible for promoting and providing funeral and cemetery pre-planning by contacting and meeting clients to pre-arrange their funerals and…
Added 7 mins ago
TU
Clinical Research Nurse
The University of British Columbia
Vancouver, BC
- $6,631.67 to $9,533.25 CAD / month
- Part-time
This position works under the supervision of Principal Investigators within the Division of Cardiology and Research Manager. Collaborates with researchers, coordinators, and hospital staff…
Added 7 mins ago
AT
Operations Manager
Air Tech Plumbing, Heating & Cooling
Vernon, BC
- Full-time
Role Description The Operations Manager is a full-time, on-site role based in Vernon, BC, responsible for overseeing day-to-day operations across plumbing, heating, cooling, and green…
Added 7 mins ago
AB
Territory Sales Manager - Vancouver BC
Anastasia Beverly Hills
Vancouver, BC
- $85,000 to $90,000 CAD / year
- Full-time
The Territory Sales Manager is primarily responsible for achieving retail sales goals and staying within allocated spending budgets in an assigned territory. In this role you will work as a…
Added 7 mins ago
TU
HR & Finance Assistant
The University of British Columbia
Vancouver, BC
- $5,027 to $5,413 CAD / month
- Full-time
Reports to the HR Manager and works closely with the Administrative Director, HR Assistant Manager and the Finance Manager.
Added 7 mins ago
BH
Manager, Speciality Pharma Nurse
Bayshore HealthCare
ON · Ontario, Canada
- Contract
The Specialty Pharma Nursing Manager BSRx hereinafter referred to as the “SPNM”, reporting directly to the Regional Operations Manager Specialty Nursing under the direction of the Senior…
Added 7 mins ago
R
Assistant Store Manager
RONA
Surrey, BC
- $65,000 to $78,000 CAD / year
- Full-time
A comprehensive training program for all new hires
Added 7 mins ago
BI
Field Service Representative,
Baxter International Inc.
AB · Edmonton, AB
- Full-time
…repairs, upgrades or installs renal care equipment on which training has been provided. This work is performed in clinics, home patients, hospitals, donor centers or other equipment…
Added 7 mins ago
CL
Member of Technical Staff (Migrations)
Cockroach Labs
Toronto, ON · North York, ON
- Full-time
…customers hit friction during migrations, and you'll work with your manager to point your efforts at the areas that matter…
Added 7 mins ago
BC
Ralph Lauren Selling Manager
BoF Careers
Halton Hills, ON
- Full-time
As a Selling Manager, you will play a crucial role within the Store Leadership team by executing strategic plans to ensure a profitable business in a dynamic and complex environment.…
Added 7 mins ago
R
Assistant Store Manager
RONA
Brossard, QC
- Full-time
A comprehensive training program for all new hires
Added 22 mins ago
BP
Kitchen supervisor (Shawnessy)
Boston Pizza
Calgary, AB
- Full-time
…oversee the daily operations of the kitchen, including the training, development and performance management of kitchen employees. They are responsible for ensuring that our most important…
Added 36 mins ago
B
Manager, Structures Design, Advanced Engineering
Bombardier
Dorval, QC
- Full-time
Support employees to enable them to reach their goals and deliverables by providing coaching, mentoring and training both for technical and soft skills.
Added 36 mins ago
TH
Merchandising Execution Associate : Part Time - BEACON HILL
The Home Depot Canada
Calgary, AB
- Part-time
Added 36 mins ago
TH
Merchandise Execution Associate Part Time - 7236 Timmins
The Home Depot Canada
Timmins, ON
- Part-time
Added 36 mins ago
AM
Pre-Planning Director
Arbor Memorial Inc.
Thorold, ON
- Full-time
Reporting to the Branch Manager, you will be responsible for promoting and providing funeral and cemetery pre-planning by contacting and meeting clients to pre-arrange their funerals and…
Added 36 mins ago
TH
Associé(e) service Pro (temps partiel)
The Home Depot Canada
Terrebonne, QC
- Part-time
…safety policies and standards, completing specified safety training, immediately correcting hazards and unsafe conditions or reporting conditions to the Manager on Duty, and working safely…
Added 36 mins ago
B
Manager, Structures Design, Advanced Engineering
Bombardier
Dorval, QC
- Full-time
Support employees to enable them to reach their goals and deliverables by providing coaching, mentoring and training both for technical and soft skills.
Added 52 mins ago
NS
Youth Health Centre Coordinator - Public Health (Bilingual)
Nova Scotia Health Authority
Antigonish, NS
- Internship
Reporting to the Manager Healthy Communities, the Youth Health Centre Coordinator (YHCC) is an active member of the Healthy Communities Public Health Team and works within the Public Health…
Added 52 mins ago
J
Manager, Process Department
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Manager, Process Department based in Canada.
Added 52 mins ago
S
Stage Experience Lead - Full Time
sephora.com
Langford, BC
- $22.85 to $28.55 CAD / hour
- Full-time
…Fragrance & Haircare or a combination of these areas. An Assistant Manager, Client Experience is responsible for ensuring that all members of their team execute Sephora’s selling model and…
Added 1 hour ago
NC
Supervisor, Bekaadendang Program (Anti-Human Trafficking/PAR/CARE TEAM)
Native Child and Family Services of Toronto
Toronto, ON
- $88,193 to $106,569 CAD / year
- Full-time
Works with senior leadership, especially the Manager of Wholistic Services, to support with hiring, determining work priorities, assigning duties, providing direction and training, setting…
Added 1 hour ago
MM
Marsh Human Resources Manager
Marsh McLennan
Toronto, ON
- Full-time
As a Marsh Human Resources Manager, you will coach, support and advise People Managers, aiming to develop and enhance the quality of people management throughout the colleague lifecycle.…

Vale

Sr Spec, IT

Canada

Minimum Starting Salary: CAD $119,200 · Full-time

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Job details

Pay: Minimum Starting Salary: CAD $119,200
Job type: Full-time
Experience: 11 to 15 years of relevant experience in artificial intelligence, machine learning, advanced analytics, software engineering, or related fields.
Posting language: English
Posted: Nov 5, 2026

Original job description

Ready to build a rewarding career in an industry that is growing?

Who We Are

We are a global mining company dedicated to safely delivering nickel, copper, cobalt, and platinum group metals essential for the world’s energy transition.

Our mission is to improve lives and shape a better future together.

From utensils to cellphones to satellites, our operations simplify daily life and enhance connectivity. Our metals are integral to life-saving medical equipment and the electric vehicles driving the fight against climate change – our work truly matters.

Join our diverse team of 15,000 talented individuals committed to transforming critical minerals into prosperity and sustainable development in countries like Canada, Brazil, Indonesia, the United Kingdom, and Japan. We invite you to use your skills with us and contribute to something meaningful and enduring.

The Opportunity

We are seeking a Sr. Specialist, AI/Machine Learning Developer to join our AI & Automation Centre of Excellence for a permanent opportunity within Information Technology in Sudbury, ON. This role reports to the Sr. Manager, CoE - AI and Automation.

The successful candidate will play a pivotal role in scaling Vale Base Metals' advanced analytics and artificial intelligence capabilities. You will be responsible for designing, deploying, and optimizing machine learning solutions that support predictive maintenance, process automation, operational reliability, and real-time decision-making across our global mining and industrial operations.

Working collaboratively with data scientists, data developers, platform specialists, operational teams, and technology leaders, you will transform complex operational challenges into practical AI-driven solutions that create measurable business value. This is a unique opportunity to influence the adoption of emerging technologies, including Generative AI, Agentic AI, MLOps, and edge computing in a global industrial environment.

About You

You are an innovative and technically accomplished AI professional who thrives at the intersection of advanced analytics, engineering, and business transformation. You enjoy solving complex problems, collaborating with multidisciplinary teams, and driving meaningful operational improvements through technology. Success in this role will be demonstrated through your ability to:

Deliver scalable AI and machine learning solutions that generate measurable business value.
Collaborate effectively with technical and operational stakeholders across global environments.
Lead innovation initiatives and evaluate emerging technologies for business impact.
Balance technical excellence with practical business outcomes.
Drive responsible AI adoption while maintaining strong governance and security practices.
Influence decision-making through advanced analytics and predictive insights.
Mentor team members and contribute to a culture of continuous learning and innovation.

In This Role, You Will:

AI & Machine Learning Development

Design, develop, deploy, and optimize advanced machine learning models for industrial use cases such as predictive maintenance, geohazard detection, ore grade optimization, and equipment failure prediction.
Leverage modern AI/ML frameworks including PyTorch, TensorFlow, ONNX, and related technologies to deliver scalable solutions.
Ensure models are production-ready and aligned with business objectives and operational requirements.

MLOps & Platform Engineering

Build and maintain robust MLOps pipelines using Azure Machine Learning, MLflow, Docker, and Kubernetes.
Automate model deployment, monitoring, retraining, and lifecycle management processes.
Drive continuous improvement of AI infrastructure, reliability, scalability, and performance.

Edge AI & Performance Optimization

Optimize models for GPU acceleration using technologies such as CUDA and TensorRT.
Implement edge AI solutions that enable real-time inference and decision support in remote mining environments.
Enhance system efficiency and responsiveness across operational technology environments.

Innovation & Emerging Technologies

Explore, prototype, and implement solutions leveraging Generative AI, Agentic AI, large language models (LLMs), and federated learning.
Evaluate emerging technologies and identify opportunities to enhance automation, productivity, and knowledge management across the organization.
Contribute thought leadership and technical direction for future AI initiatives.

Governance, Security & Compliance

Ensure responsible AI adoption through governance frameworks, ethical AI practices, and compliance with global privacy and security requirements.
Support data integrity, cybersecurity, role-based access controls, and enterprise AI governance standards.
Promote secure and compliant use of AI technologies across business functions.

Stakeholder Collaboration & Value Delivery

Partner with Operations, IT, Data & Analytics, Engineering, and business stakeholders to integrate AI solutions into enterprise workflows.
Translate business challenges into scalable AI opportunities with measurable outcomes and ROI.
Contribute to strategic decision-making through predictive analytics and data-driven insights.

Education:

Bachelor's Degree in Computer Science, Data Science, Engineering, or a related discipline.
Master's Degree in Engineering, Computer Science, Data Science, Artificial Intelligence, or a related field is preferred

Experience:

11 to 15 years of relevant experience in artificial intelligence, machine learning, advanced analytics, software engineering, or related fields.
Proven experience developing and deploying enterprise-scale machine learning solutions.
Strong experience with MLOps, cloud-native AI platforms, and machine learning lifecycle management.
Experience working with industrial, operational technology (OT), IoT, or manufacturing data environments is highly desirable.
Demonstrated success delivering AI solutions that drive operational performance and business outcomes.

Skills:

Deep expertise in machine learning, Generative AI, Agentic AI, and advanced analytics.
Strong proficiency with PyTorch, TensorFlow, Azure Machine Learning, MLflow, Docker, Kubernetes, and related technologies.
Experience optimizing AI models using GPU acceleration technologies such as CUDA and TensorRT.
Knowledge of enterprise data architectures, cloud infrastructure, Infrastructure as Code, and DevOps practices.
Familiarity with Microsoft Copilot, SAP Joule, and AI-enabled business solutions.
Strong understanding of data governance, privacy regulations, security practices, and ethical AI principles.
Excellent communication and stakeholder management skills.
Ability to lead cross-functional initiatives and influence technical strategy.
Strong problem-solving, analytical, and organizational capabilities.

What We Offer You

Competitive compensation including a variable annual incentive plan
Participation in a competitive Defined Contribution Pension package
Comprehensive benefits package (company paid core coverage, health and dental coverage, flex accounts, disability plans, and optional insurances)
Leave for all of life’s reasons (vacation, personal, sick, parental)
Work culture dedicated to safety, diversity & inclusion, and career growth
Employee Family Assistance Program
Virtual Healthcare online
Online training and career development opportunities

Why Sudbury

Greater Sudbury is a vibrant city in northeastern Ontario, renowned for its rich mining history and significant role in Canada's mineral production. The city sits atop one of the world's largest and oldest meteorite impact sites, the Sudbury Basin, which is exceptionally rich in nickel, copper, and other critical minerals that are required for modern technologies such as AI and defence.

The mining sector is a cornerstone of Sudbury's economy, driving both employment and economic growth, and Vale Base Metals plays a pivotal role in this regard. Our commitment to the community is as deep as our mines.

Include to Transform

At Vale Base Metals, we are committed to ensuring an inclusive work environment where people can act like owners, being their authentic selves and empowering them to deliver results. Vale Base Metals encourages everyone to express their ideas and opinions and values the plurality of individual profiles. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are critical to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation, or any other personal consideration that makes us different.

Vale is an equal opportunity employer seeking to increase diversity across our operations and improve equal opportunity at Vale and in the mining industry.

Vale recognizes the Impacts and Benefits Agreements with the Innu Nation and the Nunatsiavut Government in which Innu and Inuit workers have first preference for employment at the Voisey’s Bay Mine Site. This is guided by an adjacency principle that first gives preference to those who live on the coast of Labrador, followed by those residing in the rest of Labrador, those residing on the island of the province, followed by the rest of Canada.

Next, priority will be given to Newfoundland and Labrador residents. We also welcome those who are willing to relocate back home and those looking to make NL their permanent home. Accommodation is available throughout our recruitment process for applicants with disabilities.

Innu Nation members and Nunatsiavut beneficiaries can submit their application to their Vale Indigenous Employment Coordinator.

Employees engaged by the Company must be lawfully able to work for the Company in the country where the role is located. The Company does not provide immigration, work permit, or permanent residence sponsorship or assistance.

Pay Grade: F2T

Minimum Starting Salary: CAD $119,200

Apply by: Friday, Nov 13, 2026

#ValeBaseMetals

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More about this job

Responsibilities

The Sr. Specialist will design, deploy, and optimize machine learning solutions to support predictive maintenance and operational reliability across global mining operations. They will also lead innovation initiatives in Generative AI and MLOps while ensuring robust governance and security compliance.

Requirements

Candidates must hold a Bachelor's degree in a relevant field, with a Master's degree preferred, and possess 11 to 15 years of experience in AI, machine learning, or software engineering. Strong proficiency in MLOps, cloud-native platforms, and industrial data environments is required.

Skills

Artificial intelligence
Machine learning
Advanced analytics
Software engineering
MLOps
Azure machine learning
PyTorch
TensorFlow
Docker
Kubernetes
GPU acceleration
CUDA
TensorRT
Generative AI
Agentic AI
Data governance

Benefits

Variable annual incentive plan
Health coverage
Dental coverage
Flex accounts
Disability plans
Optional insurances
Vacation leave
Personal leave
Sick leave
Parental leave
Employee family assistance program
Virtual healthcare
Online training
Career development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Advanced Analytics
Mining
Predictive Maintenance
Process Automation
Generative AI
Agentic AI
MLOps
Edge Computing
Azure Machine Learning
PyTorch
TensorFlow
Docker
Kubernetes
CUDA
TensorRT
Operational Technology
IoT
Data Governance
Cybersecurity
Cloud Infrastructure
Infrastructure as Code
DevOps
Microsoft Copilot
SAP Joule
Federated Learning
Industrial Automation
Software Engineering
Data Science

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